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    • How Odyssey Logistics transformed operations with data
      How Odyssey Logistics transformed operations with data Joe Easley, Qlik Administrator, Odyssey Logistics Recorded: Aug 16 2018 7:45 pm UTC 28 mins
    • When Odyssey Logistics looked for new ways to improve their services, they had an idea. What if they could incorporate real-time weather alerts with the rest of their data? The result added huge value for them and their customers. Now, instead of reacting to issues, they can proactively manage customer expectations, and make sure shipments arrive on time, regardless of conditions.

      Learn how Qlik® makes it easy to capture, visualize and analyze all of your data, providing you with:

      • Actionable and immediate intelligence
      • Relevant and customized analysis
      • A single, authoritative source of truth
      Get inspired by Odyssey Logistics, and discover new ways to sharpen your competitive edge with Qlik.

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    • Innovative Logistics Strategies for Omnichannel Fulfillment
      Innovative Logistics Strategies for Omnichannel Fulfillment Geoff Nairn, Enterprise Solutions Specialist at Openbravo Recorded: Sep 15 2016 9:30 am UTC 34 mins
    • Omnichannel fulfillment is an area where bricks-and-mortar retailers have a unique advantage over e-tailers. They can fulfill orders and handle returns from stores to reduce shipping costs and times, and capture orders in any channel, regardless of that channel’s ability to fulfill the order. To support these new cross-channel fulfillment scenarios, retailers must overhaul their IT systems and logistics to gain a single view of inventory across the entire distribution network.

      What Will You Learn?
      In this webinar we highlight how consumers' heightened expectations in an omnichannel era are forcing retailers to improve and innovate fulfillment. For example, the growth of buy online pickup in store (BOPIS) responds to consumers’ demands for convenience and instant gratification. But many retailers have struggled to do omnichannel fulfillment well, so we explain what you need to be successful in terms of technology, logistics and supply chain management.

      Who Should Attend?
      Roles with business responsibility in business processes in the Retail industry, for instance, Marketers, Store Managers, CIOs, CMOs, Logistics Managers, etc.

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    • Future of Robots in Logistics: Unmanned Guided Vehicles and Drones
      Future of Robots in Logistics: Unmanned Guided Vehicles and Drones Team Leader, Archana Vidyasekar and Research Analyst, Vijay Narayanan Natarajan Recorded: Jul 7 2015 3:00 pm UTC 57 mins
    • This webinar will highlight new opportunities for mobile robots and automation across the major applications as they start to gain commercial momentum. This briefing on mobile robots in the logistics front will explore various trends and highlight the potential benefits of incorporating such mobile technologies.

      Attend this webcast to discover:
      ·How robotics are likely to play a critical role in the future logistics supply chain
      ·The next "best thing" in robotics in the warehouse
      ·The mobile robotics segment of unmanned vehicles, such as unmanned ground vehicles and commercial drones, and their implications on creating new logistic services
      ·How automated guided vehicles create tremendous value and paybacks to shareholders, incorporating them as part of the warehouse management solutions
      ·How mobile robots will play a key role in the fourth industrial revolution, leading to the genesis of smart factories
      ·What firms typically see from an ROI perspective and how that trend is changing
      ·How to manage or improve the skill level of the workforce to deploy robotic solutions
      ·How to market the robotic landscape and the usage of futuristic technology in the marketplace

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    • Implementing a Sparse Logistic Regression Algorithm in Apache Spark
      Implementing a Sparse Logistic Regression Algorithm in Apache Spark Lorand Dali, Data Scientist, Zalando Recorded: Aug 21 2018 5:00 pm UTC 39 mins
    • This talk tells the story of implementation and optimization of a sparse logistic regression algorithm in spark. I would like to share the lessons I learned and the steps I had to take to improve the speed of execution and convergence of my initial naive implementation. The message isn’t to convince the audience that logistic regression is great and my implementation is awesome, rather it will give details about how it works under the hood, and general tips for implementing an iterative parallel machine learning algorithm in spark.

      The talk is structured as a sequence of “lessons learned” that are shown in form of code examples building on the initial naive implementation. The performance impact of each “lesson” on execution time and speed of convergence is measured on benchmark datasets.

      You will see how to formulate logistic regression in a parallel setting, how to avoid data shuffles, when to use a custom partitioner, how to use the ‘aggregate’ and ‘treeAggregate’ functions, how momentum can accelerate the convergence of gradient descent, and much more. I will assume basic understanding of machine learning and some prior knowledge of spark. The code examples are written in scala, and the code will be made available for each step in the walkthrough.

      Lorand is a data scientist working on risk management and fraud prevention for the payment processing system of Zalando, the leading fashion platform in Europe. Previously, Lorand has developed highly scalable low-latency machine learning algorithms for real-time bidding in online advertising.

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    • Ruggedized Routers Maximize Connectivity & Readiness for First Responders
      Ruggedized Routers Maximize Connectivity & Readiness for First Responders Dale Rolfson, Battalion Chief, Indianapolis FD, and Kevin Gona, Chief of Logistics, Indianapolis EMS Upcoming: Sep 25 2018 6:00 pm UTC 60 mins
    • The modern first responder relies on always-on mobile networks to keep their mission-critical applications and devices up and running. These teams need technology to just work — anytime, anywhere — so they can focus on doing their jobs and trust that the technology will function.

      Indianapolis Fire Department (IFD) and Emergency Medical Service (IEMS) agencies are both increasing communication and response times by leveraging Cradlepoint’s solutions with:

      •Constant network connectivity and redundancy for in-vehicle devices,
      such as Mobile Data Terminals (MDTs)

      •NetCloud Manager to troubleshoot issues

      •Rugged and reliable wireless router solutions

      Soon, both agencies will take advantage of the U.S. government created First Responder Network Authority’s nationwide public safety broadband network. Other carriers have announced or are planning their own mobile public safety network using a dedicated cellular “core.” These networks provide a common ability to prioritize first responder communications and can preempt all other cellular traffic to deliver needed performance.

      In this webinar attendees will learn:

      •The different ways agencies are implementing Cradlepoint solutions

      •How agencies are gaining faster response times with always-on
      connectivity

      •Details on why agencies are leveraging wireless solutions

      Join Dale Rolfson, Battalion Chief, Indianapolis Fire Department, and Kevin Gona, Chief of Logistics, Indianapolis EMS for a live webinar to explore how Cradlepoint’s easy-to-use and best in class solutions are helping first responders to act and communicate faster.

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    • Binomial and Multinomial Logistic Regressions in R
      Binomial and Multinomial Logistic Regressions in R Ali Marami Chief Data Scientist Recorded: Jun 29 2017 5:00 pm UTC 49 mins
    • Logistic regressions are the basic of machine learning. In this webinar, we discuss binomial and multinomial logistic regressions, how we implement them in R and test their performance. We will also review few examples of their usage in industry. In addition, you will learn how to use R-Brain advanced IDE when implementing the model.

      - Logistic regressions fundamentals and how to interpret estimates
      - Binomial and Multinomial logistic regressions
      - Implement logistic regressions in R
      - Performance measurement in logistic regressions
      - Generating and understanding ROC curve
      - Building confusion metrics and understanding its elements
      - Examples of model application in industry
      - Learn about new advanced IDE

      Presenter bio:

      Ali has a Ph.D. in Finance from the University of Neuchatel in Switzerland and a BS in Electrical Engineering. He has extensive experience in financial modeling, quantitative modeling, and financial risk management in several US banks.

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    • Mega Trends Driving the Transport and Logistics Industry
      Mega Trends Driving the Transport and Logistics Industry Sarah O'Carroll, Industry Analyst Frost & Sullivan Recorded: Jun 26 2013 1:00 pm UTC 16 mins
    • Transport infrastructure is a key facilitator for the efficiency of a company’s supply chain. Due to significant improvements in transport infrastructure within Sub-Saharan Africa, logistics in the region should also see positive impacts. This briefing will investigate transport infrastructure development in Angola, Ghana, Kenya, Nigeria, Mozambique and Tanzania, and its impact on the logistics market.

      Why You Should Attend:

      - Learn about transport infrastructure development in Sub-Saharan Africa
      - Identify the impact of transport infrastructure development on the efficiency of logistics
      - Discover how efficiency improvements will contribute to the ease of doing business within the region

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    • The Future of EDI
      The Future of EDI Eric Rempel, CIO, Redwood Logistics; David Chao, Director of Industry Marketing, MuleSoft Recorded: Aug 25 2016 5:00 pm UTC 47 mins
    • For many businesses, the ability to be agile, offer great customer experiences and create innovations hits a roadblock with EDI. The famously complex messaging standard can hinder effective B2B communication.

      But one integrated transportation and logistics company, Redwood Logistics, based in Chicago, partnered with MuleSoft to not only innovate on top of EDI, but harness digital transformation to create an entirely new platform service offering

      In this webinar attendees will learn about:

      – The business and technical landscape that led Redwood Logistics to pivot to a new service offering and create a better business intelligence platform
      – How they overcame the challenges presented by B2B/EDI
      – Best practices to apply API-led connectivity to B2B communication
      – The positive business outcomes from Redwood’s digital transformation initiatives

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    • Supply Chain Control Tower - Analytics & Planning for CO2 Emissions, Costs
      Supply Chain Control Tower - Analytics & Planning for CO2 Emissions, Costs Matthias Wohlfahrt is Senior Manager and head of the competence centre green logistics and network design at BearingPoint Recorded: Feb 2 2018 1:45 am UTC 46 mins
    • Modern supply chain organizations face a host of challenges, with increasingly complex supply chains that span a growing array of networks and technologies alongside demands for real-time results. Shipping errors and delays in particular can wreak havoc up and down the supply chain and drive customers to competitors. So how can SAP customers avoid these risks and gain full transparency along the entire global supply chain?
      Attend this webinar and see how you can address these risks proactively, across all modes of transportation, without the need for an on-premise transportation management system, using a supply chain control tower approach. With two customer success stories as a guide, you will learn how to:

      • Use SAP HANA to run planning, optimization, and accounting for supply chains from a single, centralized supply chain control tower location

      • Solve tradeoffs between transport costs, inventories, lead times, and CO2 emissions, and make fact-based decisions in real time, by leveraging integrated ERP data

      • Get up and running with an agile and flexible supply chain system within three months using SAP Cloud Platform

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    • Machine Learning Workshop 1: A New Architecture for Machine Learning Logistics
      Machine Learning Workshop 1: A New Architecture for Machine Learning Logistics Ted Dunning PhD, Chief Application Architect - MapR Technologies Recorded: Oct 24 2017 4:45 pm UTC 69 mins
    • How to use streaming, containers and a microservices design.

      Having heard the high-level rationale for the rendezvous architecture in the introduction to this series, in this session we dug in deeper to talk about how and why the pieces fit together. In terms of components, we covered why streams work, why they need to be persistent, performant and pervasive in a microservices design and how they provide isolation between components. From there, we talked about some of the details of the implementation of a rendezvous architecture including discussion of when the architecture is applicable, key components of message content and how failures and upgrades are handled. We touched on the monitoring requirements for a rendezvous system but will save the analysis of the recorded data for later.

      At the end of this workshop, you should have a clear understanding of the fit and finish between the parts of the rendezvous model and should be able to evaluate its applicability in your situation.

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